agentic-eval
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install github-awesome-copilot-agentic-eval
Repository
Skill path: skills/agentic-eval
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, Data / AI, Testing.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: github.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install agentic-eval into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/github/awesome-copilot before adding agentic-eval to shared team environments
- Use agentic-eval for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.